A collection of projects in NLP, machine learning and data science
Explore a data-driven journey into predicting and mitigating customer churn with this project on predictive analytics. Leveraging a Random Forest Classifier, discover insights that empower businesses to proactively retain customers and enhance overall satisfaction.
Exploratory Data Analysis (EDA) is a crucial step in the data analysis process, providing valuable insights into the characteristics of a dataset. In this report, we delve into the world of EDA using an Online Retail dataset.
Explore a data-driven journey into predicting and mitigating customer churn with this project on predictive analytics. Leveraging a Random Forest Classifier, discover insights that empower businesses to proactively retain customers and enhance overall satisfaction.
Embark on a captivating exploration of biodiversity with this data science project, delving into the conservation statuses of endangered species across national parks. Through meticulous analysis, uncover profound insights into the distribution of endangered species, their likelihood of endangerment, and the most frequently spotted species in each park, illuminating the intricate dynamics of wildlife preservation and ecological sustainability.
Delve into the realm of Natural Language Processing with our project on Sentiment Analysis of COVID-19 Tweets. This report unveils the insights derived from analyzing 10000 pandemic-related tweets, employing NLP tools, and employing algorithms such as VADER and SVM to discern sentiments and classify public perceptions.
Explore a data-driven journey into predicting and mitigating customer churn with this project on predictive analytics. Leveraging a Random Forest Classifier, discover insights that empower businesses to proactively retain customers and enhance overall satisfaction.